I am a solo developer who has been using all three seriously. Here is what I actually think:
GPT-4o — Strengths: Large context window, strong at boilerplate, excellent JSON output. Function calling is rock solid. Weaknesses: Sometimes confidently wrong on obscure APIs.
Claude 3.5 Sonnet — Strengths: Best at understanding existing code structure. When I paste a whole module and ask it to refactor, it gets the intent right more often. Better at explaining why it made a change. Weaknesses: Can be overly cautious on edge cases.
Gemini 1.5 Pro — Strengths: 1M token context is genuinely useful for large repos. Weaknesses: Weakest at actual code logic. Better as a search layer over a codebase than a code generator.
My current setup: Claude for architecture and complex refactors, GPT-4o for rapid prototyping, Gemini for searching large doc sets.
For keeping up with new models and tools, I have been using AIMasterTools.com — solid aggregator that tracks new releases without the noise.
What is your daily driver?
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